Valentina González-Pecchi

1.1k citations
8 papers · 126 indexed · h-index 5
Topics
Epigenetics and DNA Methylation (3 papers)Protein Degradation and Inhibitors (3 papers)Peptidase Inhibition and Analysis (2 papers)
Partner nations
United StatesChileCanada

In The Last Decade

Valentina González-Pecchi

8 papers receiving 125 citations

Peers

Valentina González-Pecchi
Comparison fields: 5 of 44
  • Molecular Biology 104
  • Oncology 16
  • Computational Theory and Mathematics 16
  • Cancer Research 15
  • Pathology and Forensic Medicine 11
Replace Byung‐Chul Suh with:
Byung‐Chul Suh United States
Gilbert Y. Huang United States
Nicolas Cauquil France
C.A. Kirby United States
J. Zhu China
Renan da Silva Santos Brazil
Sadiya N. Addo United States
Laura Depta Germany
Sung Soo Kim South Korea
Antonella Ciavolella Italy
Valentina González-Pecchi relative to Byung‐Chul Suh United States Byung‐Chul Suh's profile →
Citations per field
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Byung‐Chul Suh · 1×
Citations per year

Countries citing papers authored by Valentina González-Pecchi

Since Specialization
Citations

This map shows the geographic impact of Valentina González-Pecchi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Valentina González-Pecchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Valentina González-Pecchi more than expected).

Fields of papers citing papers by Valentina González-Pecchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Valentina González-Pecchi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Valentina González-Pecchi. The network helps show where Valentina González-Pecchi may publish in the future.

Co-authorship network of co-authors of Valentina González-Pecchi

This figure shows the co-authorship network connecting the top 25 collaborators of Valentina González-Pecchi. A scholar is included among the top collaborators of Valentina González-Pecchi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Valentina González-Pecchi. Valentina González-Pecchi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
#WorkIndexed citations
1 3
2 2
3 4
4 11
5 15
6 22
7 35
8 34

About Valentina González-Pecchi

Valentina González-Pecchi is a scholar working on Computational Theory and Mathematics, Molecular Biology and Hematology, having authored 8 papers that have together received 126 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (3 papers), Protein Degradation and Inhibitors (3 papers) and Peptidase Inhibition and Analysis (2 papers). The work is most often cited by research in Molecular Biology (104 citations), Physiology (6 citations) and Computational Theory and Mathematics (16 citations). Valentina González-Pecchi has collaborated with scholars based in United States, Chile and Canada. Frequent co-authors include Haian Fu, Andrei A. Ivanov, Yuhong Du, Xiulei Mo, Fadlo R. Khuri, Margaret A. Johns, Laurent O. Martinez, Liliana Lamperti, Claudio Aguayo and Véronique Pons. Their work appears in journals such as Bioinformatics, Oncogene and International Journal of Molecular Sciences.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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